Nicolas Keriven

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 19 citations into it; #15,153 of 35,345 by trust here, #18,586 by citations
• Model Architectures — 10 citations into it
• Statistical and Nonlinear Physics — 5 citations into it; #3,617 of 10,127 by trust here, #3,869 by citations

Whom Nicolas Keriven trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Diederik P. Kingma
2. Jimmy Ba
3. Joan Bruna
4. Yann LeCun
5. Geoffrey E. Hinton
6. Risi Kondor
7. George V. Cybenko
8. Yoshua Bengio
9. Alex Krizhevsky
10. Dmitry Yarotsky

Who trusts Nicolas Keriven overall

1. Taco Cohen
2. Jaehyeong Jo
3. Andreas Loukas
4. Haggai Maron
5. Siamak Ravanbakhsh
6. Mario Geiger
7. Zhengdao Chen
8. Seul Lee
9. Xiyuan Wang
10. Benjamin Bloem-Reddy

Papers from Nicolas Keriven's perspective

Ordered by how strongly the researchers Nicolas Keriven trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)

Their papers

• Universal Invariant and Equivariant Graph Neural Networks (2019) — 334 citations